Gerontology at IgMin Research | Medicine Group
We promote collaboration across various sciences to enrich the understanding and application of knowledge.
About
Gerontology is the scientific study of aging, focusing on the physical, psychological, and social changes that occur as individuals grow older. This field encompasses research into the biological processes of aging, age-related diseases, and the challenges associated with an aging population. Researchers in Gerontology seek to improve the quality of life for older adults by exploring strategies for healthy aging, disease prevention, and comprehensive care models that address the unique needs of the elderly.
The study of Gerontology integrates insights from biology, medicine, sociology, and psychology to address the multifaceted aspects of aging. By investigating areas such as cognitive health, mobility, and social support systems, this field aims to promote well-being and independence among older adults. Advancements in Gerontology are essential for shaping policies, healthcare practices, and interventions that enhance longevity and improve the overall health outcomes of aging populations.
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Screening for Sexually Transmitted Infections in Adolescents with Genitourinary Complaints: Is There a Still Role for Endocervical Gram Stains?
- The Role of Supplementation in Enhancing Recovery and Endurance among Fitness Trainers
- Improved Energy Valley Optimizer with Levy Flight for Optimization Problems
- From Traditionalism to Algorithms: Embracing Artificial Intelligence for Effective University Teaching and Learning
- A Machine Learning-based Method for COVID-19 and Pneumonia Detection
- Slip Resistance Evaluation of 10 Indoor Floor Surfaces
